Knowledge visualization in hepatitis study

Authors:
DucDung Nguyen;TuBao Ho;Saori Kawasaki
Affiliations:
School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi city, Ishikawa, Japan;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi city, Ishikawa, Japan;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi city, Ishikawa, Japan
Venue:
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Year:
2006

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Abstract

Evidence-based medicine (EBM) is a shift in which medicine from being based on individual experience of doctors to evidence with clear background. In this shift, data mining can play a significant role as its ability of uncovering medical evidence from large volumes of medical data. Recognizing the crucial role of visualization in discovering such evidences, this work presents some developed tools integrated in our data mining system D2MS for appropriately visualizing knowledge, and their usage in hepatitis study. We emphasize on our two rule visualizers, one for individual rule and the other for rule in its relations with the others.